Pith Number

pith:CVDVIONH

pith:2026:CVDVIONHNEGSTPTMXJSVWQ7TLL

not attested not anchored not stored refs pending

One-Block Transformer (1BT) for EEG-Based Cognitive Workload Assessment

Christian Arzate Cruz, Giorgos Giannakakis, Randy Gomez, Raul Fernandez Rojas, Stefanos Gkikas, Thomas Kassiotis

A single cross-attention bottleneck inside a one-block transformer classifies EEG workload levels at under 0.5 million parameters.

arxiv:2605.00856 v2 · 2026-04-21 · eess.SP · cs.AI · cs.HC · cs.LG

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\pithnumber{CVDVIONHNEGSTPTMXJSVWQ7TLL}

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Record completeness

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2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

The final model achieves high workload classification performance with under 0.5 million parameters and 0.02 GFLOPs, paving the way for a design direction for real-time cognitive workload monitoring in resource-constrained settings.

C2weakest assumption

That the single cross-attention bottleneck and lightweight self-attention preserve enough information to accurately distinguish workload levels, and that results from 11 participants on three specific tasks will generalize to other people and real-world conditions.

C3one line summary

A minimal one-block transformer architecture classifies cognitive workload from EEG recordings with high accuracy while using under 0.5 million parameters and 0.02 GFLOPs.

Receipt and verification

First computed	2026-05-20T00:03:13.292054Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

15475439a7690d29be6cba655b43f35af044fb519c5f484baa6e2b373a4314ad

Aliases

arxiv: 2605.00856 · arxiv_version: 2605.00856v2 · doi: 10.48550/arxiv.2605.00856 · pith_short_12: CVDVIONHNEGS · pith_short_16: CVDVIONHNEGSTPTM · pith_short_8: CVDVIONH

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/CVDVIONHNEGSTPTMXJSVWQ7TLL \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 15475439a7690d29be6cba655b43f35af044fb519c5f484baa6e2b373a4314ad

Canonical record JSON

{
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    "abstract_canon_sha256": "c2a88daf072150d9bd133a81f47b4fb148b324bf6e4fbaf2a186d2344ec86177",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.HC",
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "eess.SP",
    "submitted_at": "2026-04-21T04:32:59Z",
    "title_canon_sha256": "0867ae3efdac519dde416cd8d49b1e23bf192c6d4a4e129e388b4ddc737c24b4"
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    "version": 2
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